Floating point exception
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- Dominant language
- Python
- Stars
- 328
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Description
image tokenizer is loaded
Choose adapter size: base
condition type: seg
gpt model is loaded
no need to compile model in demo
checkpoints/t5-ckpt/flan-t5-xl
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:11<00:00, 5.94s/it]
processing left-padding...
prompt 0 token len: 8
prompt 1 token len: 8
Floating point exception
If anyone encountered this error?
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Reproduce the reported run that loads the image tokenizer, base adapter, segmentation condition, and flan-t5-xl checkpoint, then inspect where processing stops after left-padding the two eight-token prompts. Done means identifying the floating point exception's cause, fixing it, and verifying that this inference path completes without the exception.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100